A comparison between impulse oscillometry system and spirometry for spirometry for detecting airway obstruction in children

Hur, Hae Young; Kwak, Ji Hee; Kim, Hyoung Yun; Jung, Da Wun; Shin, Yoon Ho; Han, Man Yong

doi:10.3345/kjp.2008.51.8.842

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…This may be due to our small number of studied subjects. Comparing to previous school-aged children in Korea, Korean school studies 13 , 14) , our regression equations at multiple frequencies were similar to their reference values, especially about the Rrs 5 .…”

Section: Discussionsupporting

confidence: 78%

“…Like other pulmonary function values, IOS parameters have different normal reference levels from different races and age groups 2 , 10 - 12) . Several reports have identified normal reference levels in Korean school-aged children 13 , 14) . However, there are no reports on reference values for preschool children, thus making it difficult to diagnose and monitor respiratory diseases in these children using IOS.…”

Section: Introductionmentioning

confidence: 99%

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Reference values for respiratory system impedance using impulse oscillometry in healthy preschool children

et al. 2011

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PurposeThe normal values for lung resistance and lung capacity of children, as determined by impulse oscillometry (IOS), are different for children of different ethnicities. However, reference values there is no available reference value for Korean preschool children have yet to be determined. The aim of the present study was to determine the normal ranges of IOS parameters in Korean preschool children.MethodsA total of 133 healthy Korean preschool children were selected from 639 children (aged 3 to 6 years) who attended kindergarten in Seongnam, Gyeonggi province, Korea. Healthy children were defined according to the European Respiratory Society (ERS) criteria. All subjects underwent lung function tests using IOS. The relationships between IOS value (respiratory resistance (Rrs) and reactance (Xrs) at 5 and 10 Hz and resonance frequency (RF)) and age, height, and weight were analyzed by simple linear and multiple linear regression analyses.ResultsThe IOS success rate was 89.5%, yielding data on 119 children. Linear regression identified height as the best predictor of Rrs and Xrs. Using stepwise multiple linear regressions based on age, height, and weight, we determined regression equations and coefficients of determination (R2) for boys (Rrs5=1.934-0.009×Height, R2=12.1%; Xrs5=0.774+0.006×Height-0.002×Age, R2=20.2% and for girls (Rrs5=2.201-0.012×Height, R2=18.2%; Xrs5=-0.674+0.004×Height, R2=10.5%).ConclusionThis study provides reference values for IOS measurements of normal Korean preschool children. These provide a basis for the diagnosis and monitoring of preschool children with a variety of respiratory diseases.

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Section: Discussionsupporting

confidence: 78%

Section: Introductionmentioning

confidence: 99%

Reference values for respiratory system impedance using impulse oscillometry in healthy preschool children

et al. 2011

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“…In addition, it is a useful tool to complement tests such as spirometry, which requires difficult forced maneuvers that could prevent the achievement of qualitatively and quantitatively satisfactory results. 15 The present study aims to determine reference equations for impulse oscillometry system parameters in Brazilian children and adolescents age 6 -14 y.…”

Section: Introductionmentioning

confidence: 99%

Reference Equations for Impulse Oscillometry System Parameters in Healthy Brazilian Children and Adolescents

et al. 2016

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BACKGROUND:The impulse oscillometry system is a noninvasive method of evaluating respiratory mechanics that is being increasingly used in the pediatric population. To date, no reference equations have been developed for healthy Brazilian children and adolescents. The purpose of the study was to determine the reference equations for impulse oscillometry system parameters in healthy children and adolescents. METHODS: We undertook an observational cross-sectional analytical study with healthy students age 6 -14 y from educational institutions in the Greater Florianópolis area. Biometric data were evaluated (weight, height, body mass index, and body surface area) as predictors and for sample characterization. All participants were submitted to evaluation of respiratory mechanics using an oscillometry system following American Thoracic Society standards. Three tests were recorded, with data acquisition for >20 s. For data normality verification, the Kolmogorov-Smirnov test was applied, and Pearson's correlation test identified the relationship between the predicted values of height, age, and weight and the oscillometric variables of resistance at 5 and 20 Hz reactance; respiratory impedance at 5 Hz resonant frequency; and reactance area. Models were developed using simple linear regression and multiple analyses. RESULTS: After the recruitment of 864 children, 123 subjects with an average age of 10.0 ؎ 2.4 y for boys and 9.9 ؎ 2.4 y for girls (P ‫؍‬ .94) were considered for final analysis. Correlations were identified between the dependent and predictor oscillometric variables, with height identified as having the greatest predictive power in the equations developed for boys in all oscillometric parameters, with a mean adjusted R 2 of 46.51%. Age had greater influence on resonant frequency (adjusted R 2 ‫؍‬ 40.1%) and reactance area (adjusted R 2 ‫؍‬ 48.8%) for girls. CONCLUSIONS: Reference equations were developed for males and females, and height was the most influential predictor variable for most impulse oscillometry system parameters in the population studied.

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Integrated software suite for diagnosis of respiratory diseases

Badnjević

Cifrek

Koruga³

2013

Eurocon 2013

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A comparison between impulse oscillometry system and spirometry for spirometry for detecting airway obstruction in children

Cited by 5 publications

References 29 publications

Reference values for respiratory system impedance using impulse oscillometry in healthy preschool children

Reference values for respiratory system impedance using impulse oscillometry in healthy preschool children

Reference Equations for Impulse Oscillometry System Parameters in Healthy Brazilian Children and Adolescents

Integrated software suite for diagnosis of respiratory diseases

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